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Passed through the classification network. These two streams are merged together using a novel attention network and Recurrent stream that uses the MFCC features of the signal. Network has a convolutional stream that uses the raw heart sound signal and a
This paper we propose a novel deep learning based dual stream network withĪttention mechanism that uses both the raw heart sound signal and the MFCCįeatures to detect abnormality in heart condition of a patient. Signal can be a great asset for the people living in underdeveloped areas. As such anĪutomatic detection system for heart abnormality detection from heart sound Sound signal is non-invasive, cost effective and requires minimum equipment.īut currently the detection of heart abnormality from heart sound signalĭepends largely on the expertise and experience of the physician. The heart sound signal is one of the primary indicator of heart conditionĪnd can be used to detect abnormality in the heart. World and early screening of heart condition plays a crucial role in preventing
Authors: Nayeeb Rashid, Swapnil Saha, Mohseu Rashid Subah, Rizwan Ahmed Robin, Syed Mortuza Hasan Fahim, Shahed Ahmed, Talha Ibn Mahmud Download PDF Abstract: Cardiovascular diseases are one of the leading cause of death in today's
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